In this paper, we present VizAI pronounced similar to Hindi word vijay (n): meaning success., a machine learnt visualization recommendation framework that not only considers the preference of the user to a specific type(s) of chart, but, more importantly, also takes into account how well the specific visualization performs in representing the underlying data accurately. In other words, VizAI explicitly builds on two of Tufte's canons for good visualization [1]}, viz.,
[(a)]
